Characterization of Handwritten Signature Images in Dissimilarity Representation Space
Characterization of Handwritten Signature Images in Dissimilarity Representation Space
Souza, Victor L.F. and Oliveira, Adriano L.I. and Cruz, Rafael M.O. and Sabourin, Robert
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
Abstract : The offline Handwritten Signature Verification (HSV) problem can be considered as having difficult data since it presents imbalanced class distributions, high number of classes, high-dimensional feature space and small number of learning samples. One of the ways to deal with this problem is the writer-independent (WI) approach, which is based on the dichotomy transformation (DT). In this work, an analysis of the difficulty of the data in the space triggered by this transformation is performed based on the instance hardness (IH) measure. Also, the paper reports on how this better understanding can lead to better use of the data through a prototype selection technique.
